Literature DB >> 29163011

Optimised PDMS Tunnel Devices on MEAs Increase the Probability of Detecting Electrical Activity from Human Stem Cell-Derived Neuronal Networks.

Maria Toivanen1, Anssi Pelkonen1, Meeri Mäkinen1, Laura Ylä-Outinen1, Lassi Sukki2, Pasi Kallio2, Mervi Ristola1, Susanna Narkilahti1.   

Abstract

Measurement of the activity of human pluripotent stem cell (hPSC)-derived neuronal networks with microelectrode arrays (MEAs) plays an important role in functional in vitro brain modelling and in neurotoxicological screening. The previously reported hPSC-derived neuronal networks do not, however, exhibit repeatable, stable functional network characteristics similar to rodent cortical cultures, making the interpretation of results difficult. In earlier studies, microtunnels have been used both to control and guide cell growth and amplify the axonal signals of rodent neurons. The aim of the current study was to develop tunnel devices that would facilitate signalling and/or signal detection in entire hPSC-derived neuronal networks containing not only axons, but also somata and dendrites. Therefore, MEA-compatible polydimethylsiloxane (PDMS) tunnel devices with 8 different dimensions were created. The hPSC-derived neurons were cultured in the tunnel devices on MEAs, and the spontaneous electrical activity of the networks was measured for 5 weeks. Although the tunnel devices improved the signal-to-noise ratio only by 1.3-fold at best, they significantly increased the percentage of electrodes detecting neuronal activity (52-100%) compared with the controls (27%). Significantly higher spike and burst counts were also obtained using the tunnel devices. Neuronal networks inside the tunnels were amenable to pharmacological manipulation. The results suggest that tunnel devices encompassing the entire neuronal network can increase the measured spontaneous activity in hPSC-derived neuronal networks on MEAs. Therefore, they can increase the efficiency of functional studies of hPSC-derived networks on MEAs.

Entities:  

Keywords:  human pluripotent stem cells; in vitro model; microelectrode array; neuronal network; tunnel device

Year:  2017        PMID: 29163011      PMCID: PMC5671636          DOI: 10.3389/fnins.2017.00606

Source DB:  PubMed          Journal:  Front Neurosci        ISSN: 1662-453X            Impact factor:   4.677


  31 in total

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2.  Biophysics of microchannel-enabled neuron-electrode interfaces.

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3.  A microchannel device tailored to laser axotomy and long-term microelectrode array electrophysiology of functional regeneration.

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4.  A microfluidic culture platform for CNS axonal injury, regeneration and transport.

Authors:  Anne M Taylor; Mathew Blurton-Jones; Seog Woo Rhee; David H Cribbs; Carl W Cotman; Noo Li Jeon
Journal:  Nat Methods       Date:  2005-08       Impact factor: 28.547

5.  Multi-well microelectrode array recordings detect neuroactivity of ToxCast compounds.

Authors:  Pablo Valdivia; Matt Martin; William R LeFew; James Ross; Keith A Houck; Timothy J Shafer
Journal:  Neurotoxicology       Date:  2014-07-02       Impact factor: 4.294

6.  Rapid Prototyping of Microfluidic Systems in Poly(dimethylsiloxane).

Authors:  D C Duffy; J C McDonald; O J Schueller; G M Whitesides
Journal:  Anal Chem       Date:  1998-12-01       Impact factor: 6.986

Review 7.  Animal models of Alzheimer disease: historical pitfalls and a path forward.

Authors:  Sarah E Cavanaugh; John J Pippin; Neal D Barnard
Journal:  ALTEX       Date:  2014-04-10       Impact factor: 6.043

8.  Comparative neurotoxicity screening in human iPSC-derived neural stem cells, neurons and astrocytes.

Authors:  Ying Pei; Jun Peng; Mamta Behl; Nisha S Sipes; Keith R Shockley; Mahendra S Rao; Raymond R Tice; Xianmin Zeng
Journal:  Brain Res       Date:  2015-08-05       Impact factor: 3.252

9.  Novel MEA platform with PDMS microtunnels enables the detection of action potential propagation from isolated axons in culture.

Authors:  Bradley J Dworak; Bruce C Wheeler
Journal:  Lab Chip       Date:  2008-11-18       Impact factor: 6.799

10.  CytoSpectre: a tool for spectral analysis of oriented structures on cellular and subcellular levels.

Authors:  Kimmo Kartasalo; Risto-Pekka Pölönen; Marisa Ojala; Jyrki Rasku; Jukka Lekkala; Katriina Aalto-Setälä; Pasi Kallio
Journal:  BMC Bioinformatics       Date:  2015-10-26       Impact factor: 3.169

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  1 in total

Review 1.  Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays.

Authors:  Anssi Pelkonen; Cristiana Pistono; Pamela Klecki; Mireia Gómez-Budia; Antonios Dougalis; Henna Konttinen; Iveta Stanová; Ilkka Fagerlund; Ville Leinonen; Paula Korhonen; Tarja Malm
Journal:  Cells       Date:  2021-12-29       Impact factor: 6.600

  1 in total

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